NVIDIA workflows connect real and synthetic data
Training foundation models for humanoid and other robots typically requires large amounts of data, noted NVIDIA. Teleoperation is one way to capture human demonstration data, but it can be expensive and time-consuming, it said.
NVIDIA announced a workflow that uses AI and Omniverse to enable developers to train robots with smaller amounts of data than previously required. First, developers use Apple Vision Pro to capture a relatively small number of teleoperated demonstrations.
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